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google
/
tipsv2-l14-dpt

Depth Estimation
Transformers
Safetensors
tipsv2_dpt
feature-extraction
vision
surface-normals
semantic-segmentation
dense-prediction
custom_code
Model card Files Files and versions
xet
Community

Instructions to use google/tipsv2-l14-dpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use google/tipsv2-l14-dpt with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("depth-estimation", model="google/tipsv2-l14-dpt", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("google/tipsv2-l14-dpt", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tipsv2-l14-dpt
407 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 17 commits
Gabriele
Update example image URL to use HF-hosted ADE20K image
690a850 about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    3.43 kB
    Update example image URL to use HF-hosted ADE20K image about 1 month ago
  • config.json
    531 Bytes
    Upload config.json with huggingface_hub about 1 month ago
  • configuration_dpt.py
    1.06 kB
    Upload configuration_dpt.py with huggingface_hub about 1 month ago
  • dpt_head.py
    28.2 kB
    Upload dpt_head.py with huggingface_hub about 1 month ago
  • model.safetensors
    407 MB
    xet
    Upload model.safetensors with huggingface_hub about 1 month ago
  • modeling_dpt.py
    5.25 kB
    Upload modeling_dpt.py with huggingface_hub about 1 month ago